Mind Meets Machine: User-Friendly Brain-Computer Interface

Our project makes brain and body EEG signals accessible outside expensive labs. By capturing these signals with affordable sensors and converting them into real-time commands, we enable students, researchers, and everyday users to control devices and interact with technology directly through their neural and muscular activity.

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Project Success

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About

About

Redefining Brain-Computer Interfaces for education, healthcare, and daily life.

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MSME
SHORTLISTED

Bridging Minds and Machines Through Affordable BCI

Our project has been recognized under the Low Carbon Emission category and shortlisted by MSME, showcasing our commitment to building sustainable and eco-friendly innovation.

Accessible NeuroTech

We capture EEG using affordable sensors, making advanced neurotechnology available to students, researchers, and innovators.

Real-Time Interaction

Our system processes these signals into commands, enabling direct control of devices and seamless interaction between humans and machines.

Practical Applications

From assistive technology to research tools, our BCI opens opportunities in healthcare, education, and everyday life.

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Services

Services

Bringing neuroscience out of the lab and into everyday life with affordable Brain-Computer Interfaces.

01

Affordable EEG Access

We replace costly lab equipment with low-cost sensors, making it possible for students, researchers, and hobbyists to explore brain signals easily.

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02

Real-Time Signal Processing

EEG signals are processed instantly, enabling smooth control of external devices and interactive applications.

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03

Everyday Applications

From assistive technologies for people with disabilities to smart control systems, our project extends BCI use beyond research.

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04

Future-Ready Innovation

We provide a scalable foundation for advanced neurotech, opening new opportunities in education, healthcare, and daily life.c

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Steps

Steps

Our approach to building an affordable and real-time Brain-Computer Interface.

01

Signal Research & Planning

We study EEG signals, identify suitable low-cost sensors, and design a roadmap to make neurotech accessible outside labs.

02

Development & Integration

Building the hardware-software system that captures, filters, and processes brain and muscle signals into meaningful digital outputs.

03

Testing & Validation

Signals are tested across real-world scenarios to ensure accuracy, low latency, and reliable device control.

04

Deployment & Future Use

The final system is launched as a scalable solution for education, healthcare, and daily life, with scope for expansion into advanced BCI applications.

Team

Team

Together, we combine creativity, research, and innovation to bring our Brain-Computer Interface project to life.

Sharath Schandra Kolli

Hardware Engineer

Worked on EEG sensors, circuits, and real-time signal capture.

Nishkarsh Hublikar

UI/UX Designer

Created a simple and user-friendly interface for the project.

Krishna Nand Jha

Market Analyst

Explored applications, market needs, and project feasibility.

Nithin Jambula

Hardware Engineer

Worked on EEG sensors, circuits, and real-time signal capture.

Sarayu Togar

Research Analyst

Studied existing BCIs and provided insights to guide development.

Sai Sandeep

Market Analyst

Explored applications, market needs, and project feasibility.

What is this project about?

This project focuses on Brain-Computer Interface (BCI) technology, where EEG brain signals are converted into useful digital commands.

How can I benefit from this project?

You can learn how BCI works, explore its applications, and understand how low-cost solutions can make advanced tech more accessible.

Do I need technical knowledge to understand this project?

No, we have explained the concept in a simple way so that anyone—whether technical or non-technical—can follow it.

Can I try or test this project myself?

Currently, it is a prototype meant for research and learning purposes, not for commercial or everyday use.